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中国东北地区气温变化的模拟评估与未来情景预估
引用本文:敖雪,赵春雨,崔妍,周晓宇,翟晴飞,沈历都,王涛. 中国东北地区气温变化的模拟评估与未来情景预估[J]. 气象与环境学报, 2021, 37(1): 33-42. DOI: 10.3969/j.issn.1673-503X.2021.01.005
作者姓名:敖雪  赵春雨  崔妍  周晓宇  翟晴飞  沈历都  王涛
作者单位:沈阳区域气候中心,辽宁 沈阳110166;辽宁省人工影响天气办公室,辽宁 沈阳110166
基金项目:中国气象局气候变化专项(CCSF202013、CCSF201910、CCSF201819);辽宁省气象局科研课题(BA201803、D202001);辽宁省科学技术计划项目(2019-MZ-199)和(2019-ZD-0859)共同资助。
摘    要:基于RegCM4区域气候模式、CMIP5全球气候模式数据集和中国东北地区162个气象站气温观测资料,采用偏差分析和相关分析评估了RegCM4和CMIP5对东北地区气温的模拟能力,预估了RCP2.6、RCP4.5和RCP8.5排放情景下东北地区未来气温的变化.结果表明:区域模式和全球模式均能较好地再现气温时空变化特征,模...

关 键 词:RegCM4  CMIP5  气温  模拟能力  情景预估
收稿时间:2020-06-02

Evaluation and projection of temperature change in Northeast China
AO Xue,ZHAO Chun-yu,CUI Yan,ZHOU Xiao-yu,ZHAI Qing-fei,SHEN Li-du,WANG Tao. Evaluation and projection of temperature change in Northeast China[J]. Journal of Meteorology and Environment, 2021, 37(1): 33-42. DOI: 10.3969/j.issn.1673-503X.2021.01.005
Authors:AO Xue  ZHAO Chun-yu  CUI Yan  ZHOU Xiao-yu  ZHAI Qing-fei  SHEN Li-du  WANG Tao
Affiliation:1. Shenyang Regional Climate Center, Shenyang 110166, China2. Liaoning Weather Modification Office, Shenyang 110166, China
Abstract:Based on the RegCM4(Regional Climate Model 4)regional climate model,CMIP5(Coupled Model Intercomparison Project Phase 5)global climate model dataset and temperature observation data from 162 meteorological stations in Northeast China,the abilities of RegCM4 and CMIP5 to simulate temperature in Northeast China were evaluated using the deviation and correlation analyses.The future temperature changes under three emission scenarios of RCP2.6,RCP4.5,and RCP8.5 in Northeast China were estimated as well.The results show that both the regional and global models can better represent the spatiotemporal changes in air temperature.The simulation effects in winter and summer are better than those in autumn and spring.In terms of regional-scale information,the simulated values are smaller than the observed ones.The simulation results of the RegCM4 are significantly better than those of the CMIP5,and the simulated deviation cold is improved.In the future,the annual and seasonal temperatures in Northeast China will increase.The warming magnitude in the RCP8.5 scenario is most significant,followed by the RCP4.5,and RCP2.6 is the smallest.The warming effects in winter and autumn are larger than those in summer.Compared with the CMIP5 model,the RegCM4 model has a larger temperature increasing amplitude and more obvious interannual oscillation characteristics.In terms of space,the distribution patterns of short-,medium-,and late-of-term warming predicted by the regional and global models are consistent,showing a zonal distribution reducing from the north to the south,with the minimum amplitude of warming in Liaoning province,the high-value area locating in the Greater Khingan Mountains area of Heilongjiang province.Although the warming effect in the north is more obvious than that in the south,the temperature distribution in the northeast region will continue to be higher in the south than that in the north after warming.
Keywords:RegCM4  CMIP5  Temperature  Simulation capability  Scenario projection
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